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COVID-19 disease course analysis using multi-site large-scale EHR data

Award Number: R21LM013678
ORGANIZATION: NATIONAL LIBRARY OF MEDICINE
OPDIV: NIH
AWARD CLASS: DISCRETIONARY
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 04/01/2021
PERIOD OF PERFORMANCE END DATE: 03/31/2024

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COVID-19 disease course analysis using multi-site large-scale EHR data - Project Summary/Abstract Since its ﬁrst case reported in December 2019, the coronavirus disease-2019 (COVID-19) has caused a pan- demic in 188 countries/regions, and has precipitated an unprecedented health, economic and social crisis. In order to cope with the volatile dynamic and severity of the pandemic, it is imperative that we characterize the various clinical courses of COVID-19 infection, and determine whether and how demographic, clinical and other variables inﬂuence them. Knowledge of the disease's transmission, symptomatology, clinical course, treatment and outcomes is rapidly evolving based on many sources. An important source for advancing this knowledge is data from electronic health records (EHR) and health information exchanges (HIE) because they can pro- vide a real-time, unvarnished view of the disease. Using large-scale, well-integrated and rich EHR data enables comprehensive proﬁling and quantiﬁcation of the COVID-19 disease course that can directly inform clinical prac- tice. The long-term goal of our research is to develop Artiﬁcial Intelligence (AI) tools to facilitate access to and analysis of clinical data. The goal of this application is to develop effective algorithms and tools to mine clinical data to categorize disease courses of COVID-19, and determine the effect of clinical and other variables asso- ciated with them. We will develop our algorithms using data from a large and comprehensive health information exchange, the Indiana Network for Patient Care (INPC), which has about 40,000 COVID-19 patients and fairly complete EHR data about them. We will evaluate the algorithms against other data sets, including EHR data from the OSU Wexner Medical Center and the National COVID Cohort Collaborative (N3C). The speciﬁc aims of this project are to (1) develop COVID-19 disease course groupings, (2) relate comorbidities and other clinical variables to the COVID-19 disease course, and (3) validate the developed algorithms on N3C data. This pro- posal is signiﬁcant because the methods developed in this project have the potential to signiﬁcantly increase our capability for computational analysis of large and rich patient data during the pandemic and beyond; the knowl- edge derived from our comprehensive proﬁling of COVID-19 courses over large, inclusive patient populations supported by rich EHR data can positively impact clinical practice; and the tools developed in this project will be released to the public as a free COVID-19 research re- source. It is innovative because our methods integrate novel methods such as patient clustering using clinical variables and disease progression trajectories, and pa- tient trajectory comparison, with established univariate and predictive analysis; our primary approach will lever- age the oldest and one of the country's largest HIEs to derive detailed and comprehensive knowledge about a large patient population; and the strong preliminary data generated by this project can help improve COVID-19 patient phenotyping, disease characterization and diagnosis.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2024 ( Subtotal = -$19,606 )
2024	2022	OHIO STATE UNIVERSITY, THE	1960 KENNY RD	COLUMBUS	OH	43210	FRANKLIN	USA	Medical Library Assistance	000	2	8/22/2024	NON-COMPETING CONTINUATION	-$19,606
														Subtotal = -$19,606

Issue Date FY: 2022 ( Subtotal = $170,884 )
2022	2022	OHIO STATE UNIVERSITY, THE	1960 KENNY RD	COLUMBUS	OH	43210	FRANKLIN	USA	Medical Library Assistance	000	2	3/29/2022	NON-COMPETING CONTINUATION	$170,884
														Subtotal = $170,884

Issue Date FY: 2021 ( Subtotal = $229,308 )
2021	2021	OHIO STATE UNIVERSITY, THE	1960 KENNY RD	COLUMBUS	OH	43210	FRANKLIN	USA	Medical Library Assistance	000	1	3/31/2021	NEW	$229,308
														Subtotal = $229,308

Grand Total All Awards = $380,586

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COVID-19 disease course analysis using multi-site large-scale EHR data

Award Number: R21LM013678

ORGANIZATION: NATIONAL LIBRARY OF MEDICINE

OPDIV: NIH

AWARD CLASS: DISCRETIONARY

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 04/01/2021

PERIOD OF PERFORMANCE END DATE: 03/31/2024

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